Stator resistance estimation using ANN in DTC IM drives

Authors : Mustafa AKTAŞ, H. İbrahim OKUMUŞ

Pages : 197-210

View : 8 | Download : 7

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Torque control of induction motors insert ignore into journalissuearticles values(IM); requires accurate estimation of the flux in the motor. But the flux estimate, when estimated from the stator circuit variables, is highly dependent on the stator resistance of the IM. As a result, the flux estimate is prone to errors due to variation in the stator resistance, especially at low stator frequencies. In this paper, an Artificial Neural Network insert ignore into journalissuearticles values(ANN); is used to adjust the stator resistance of an IM. A back propagation training algorithm was used in training the neural network for the simulation. The proposed ANN resistance estimator has shown good performance in both the transient and steady states. The system is first simulated with computer software and tested by hardware in the loop. Then, it is implemented using a TMS320C6711, 32-bit fixed point Digital Signal Processor insert ignore into journalissuearticles values(DSP);. Experimental and simulated results prove the usefulness and feasibility of the proposed strategy as compared with conventional methods.
Keywords : Induction machine, direct torque control DTC, , artificial neural network, stator resistance estimation